文件名称:ikalman-master
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- 上传时间：2017-10-04
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To use these functions:
1. Start with a KalmanFilter created by alloc_filter_velocity2d.
2. At fixed intervals, call update_velocity2d with the lat/long.
3. At any time, to get an estimate for the current position,
bearing, or speed, use the functions:
get_lat_long
get_bearing
get_mph
1. Start with a KalmanFilter created by alloc_filter_velocity2d.
2. At fixed intervals, call update_velocity2d with the lat/long.
3. At any time, to get an estimate for the current position,
bearing, or speed, use the functions:
get_lat_long
get_bearing
get_mph
相关搜索： ikalman滤波算法
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下载文件列表
ikalman-master
ikalman-master\LICENSE
ikalman-master\README
ikalman-master\gps.c
ikalman-master\gps.h
ikalman-master\gps_test.c
ikalman-master\kalman.c
ikalman-master\kalman.h
ikalman-master\kalman_test.c
ikalman-master\makefile
ikalman-master\matrix.c
ikalman-master\matrix.h
ikalman-master\matrix_test.c
ikalman-master\testdata
ikalman-master\testdata\gps_example_1
ikalman-master\LICENSE
ikalman-master\README
ikalman-master\gps.c
ikalman-master\gps.h
ikalman-master\gps_test.c
ikalman-master\kalman.c
ikalman-master\kalman.h
ikalman-master\kalman_test.c
ikalman-master\makefile
ikalman-master\matrix.c
ikalman-master\matrix.h
ikalman-master\matrix_test.c
ikalman-master\testdata
ikalman-master\testdata\gps_example_1
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